Ethical AI in Practice: Guidelines, Application, and Development

Please note: UCEBT is approved by the American Psychological Association to sponsor continuing education for psychologists. UCEBT maintains responsibility for this program and its content. These sessions are also approved for ethics CEs through UPA, NASW-UT, UAMFT, and UMHCA. 

AI & Ethics in Mental Health: A 3-Part Continuing Education Series

6.0 Ethics CE hours | July 18, Aug 1, Aug 15, 2025

As artificial intelligence rapidly advances, mental health providers are increasingly encountering new technologies that impact clinical work. From session documentation to client-facing tools, AI is reshaping how we assess, plan, and deliver care. But with innovation comes responsibility—and important ethical questions.

In this 3-part CE series, licensed psychologists from the Utah Center for Evidence Based Treatment (UCEBT) explore the evolving intersection of AI and clinical ethics. Participants will gain insight into the latest ethical guidelines, practical applications of AI in therapy, and the nuanced roles therapists may play in the development and regulation of AI in mental health.

Whether you're curious, cautious, or already using AI, this series offers essential knowledge to make informed, ethically sound decisions in your practice.

Topics include:

• Updated APA guidelines and ethical considerations (privacy, transparency, equity)
• Common AI use cases in clinical settings
• Decision-making frameworks for implementing AI
• Risks and benefits of AI for both clinicians and clients
• Therapists’ potential responsibilities in the AI landscape

Part 1: An Introduction to the Ethics of Artificial Intelligence in Clinical Practice
Friday, July 18, 2025 | 10:00 a.m. - 12:00 p.m. MST

Presenter: Dr. Laura Rowley

• Discusses how APA’s updated ethical standards apply to AI in clinical care
• Highlights privacy, transparency, and equity considerations
• Explores cross-disciplinary ethical standards (psychology, social work, counseling)
• Examples of AI use: session monitoring, note-taking, predictive analytics, clinical interventions

• Helps clinicians assess whether to use AI tools in their practice
• Reviews 5 key areas of AI integration:
• Session note writing
• Report writing
• Treatment planning
• Clinical research and education
• Recommending AI tools to clients
• Emphasizes an ethical, personalized decision-making process

• Addresses clinician concerns and hesitations around AI
• Highlights risks of consumer reliance on AI without safeguards
• Offers a balanced view through research and personal experience advising an AI mental health app
• Encourages therapists to consider their ethical role in AI advocacy and development